Data Analytics Engineer (Data Vault, Canonical Modeling, Databricks)

Position: Data Analytics Engineer (Data Vault, Canonical Modeling, Databricks)
Location: Remote (PST Hours)
Duration: 6 Months+

About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!

We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:

Job Requirement:
Key Skills: Data Vault, Canonical Modeling and Databricks.

Note: Candidate needs to use his own laptop.

Position Overview:
As a Data Solution Engineer/Architect Advanced Analytics within our professional services practice, you will lead the design and delivery of cloud-native analytics architectures that solve complex data challenges for enterprise clients. This is a highly technical role that also requires strong consultative and business communication skills. You ll work directly with clients to assess needs, define modern analytics solutions, and lead implementation across the data lifecycle from ingestion and storage to reporting and machine learning. In addition to technical excellence, you ll play a key role in articulating the business value and ROI of these solutions, bridging the gap between IT and strategic business outcomes.

Key Responsibilities:

• Lead the architecture of scalable, secure, and cost-efficient data platforms on cloud infrastructure (AWS, Azure, Google Cloud Platform).
• Collaborate with client stakeholders to define business goals and map them to technical capabilities and solution designs.
• Design and implement robust data pipelines (batch and streaming), modeling strategies, and analytics workflows using modern toolchains.
• Guide the selection and integration of data warehousing, lakehouse, and visualization platforms.
• Present architectural proposals and technical recommendations to client leadership, emphasizing expected business impact and measurable outcomes (e.g., faster time-to-insight, reduced data ops overhead, improved data quality).
• Translate technical trade-offs into business terms to help clients make informed decisions.
• Support clients in aligning analytics architectures with KPIs, compliance requirements, and digital transformation goals.
• Participate in sales support activities such as technical scoping, RFP responses, demos, and solution architecture documentation.
• Act as a mentor to consultants and data engineers, ensuring best practices are followed throughout implementation.

Technical Stack (Experience Preferred):

• Cloud Platforms: AWS (Redshift, Glue, EMR), Azure (Synapse, Data Factory), Google Cloud Platform (BigQuery, Dataflow)
• Data Engineering: dbt, Spark, Airflow, Databricks, Snowflake, Delta Lake, Data Vault, Canonical Data Model
• Streaming: Kafka, Kinesis, Event Hubs
• Storage & Warehousing: S3, ADLS, BigQuery, Synapse, Snowflake
• Programming: SQL (advanced), Python, PySpark
• BI/Visualization: Power BI, Tableau, Looker
• Infra & DevOps: Terraform, Docker, Kubernetes, CI/CD (GitHub Actions, Azure DevOps)
• Security & Governance: IAM, RBAC, encryption, compliance (HIPAA, SOC 2, GDPR)

Qualifications:
Required:

• Bachelor s degree in Computer Science, Data Engineering, or a related technical discipline.
• 7+ years of experience in data and analytics, with 3+ years in a lead or architect role.
• Proven ability to design and implement complex analytics platforms and data ecosystems.
• Demonstrated experience communicating technical concepts to business audiences, with an emphasis on value realization and impact.
• Background in consulting or professional services with client-facing responsibilities.

Why Join R Systems?

• Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
• Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
• Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
• Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
• E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
• Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
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